Triple
T33111955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dúnedain of the North |
E847352
|
entity |
| Predicate | broughtReinforcementsTo |
P15397
|
FINISHED |
| Object | Rohan |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Rohan | Statement: [Dúnedain of the North, broughtReinforcementsTo, Rohan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: broughtReinforcementsTo Context triple: [Dúnedain of the North, broughtReinforcementsTo, Rohan]
-
A.
besiegingForce
Indicates a military group that is surrounding and attacking a target location or force in an attempt to capture or subdue it.
-
B.
commandedTroopsAt
Indicates that a person held command authority over military forces at a specific location or during a particular operation.
-
C.
suppliedTroopsTo
chosen
Indicates that one entity provided military personnel or forces to another entity.
-
D.
garrisonedForce
Indicates that a military force is stationed in and occupies a specific location, typically for defense or control.
-
E.
mainDestinationArmy
Indicates that an army is the primary or main destination of a movement, operation, or assignment.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6eb33648190b26122f53c88d8eb |
completed | May 3, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:27 a.m.